Pavlo Lebediev

• designed and implemented an incident response automation platform using terraform, azure: kubernetes, functions, logic app and service bus.

• developed automation platform microservices on python, using: poetry, pre-commit, ruff, pydantic, opentelemtery, azure sdks, pylint, and pytest.

• provided critical support and training to security analysts and end-users, enabling them to effectively utilize the automation platform and improve incident response times by 80%.

• drove overall adoption of DevOps practices within the grid.

• implemented a dependency maintenance bot (Renovate Bot) for the application team.

• migrated application CI/CD pipelines to the latest standards using templating and reusable code.

• continuously collaborated with developers to drive and facilitate continuous improvement.

• developed and build python packages following (and improving) company tools and standards: tests, code coverage, dependencies, vulnerabilities, linting.

• maintained and provided on-call support production Kubernetes cluster.

• developed, maintained, and supported build/deploy pipelines for frontend and backend applications in Kubernetes.

• implemented Renovate Bot to resolve dependency updates, version upgrades, and automatic fixes for application libraries, Terraform modules, Docker images.

• designed and implemented Azure services (AKS, Service Bus, Key Vault, Functions, Automation Account, Hybrid Workers, Azure PostgreSQL, Cache for Redis, APIM, etc.) using Terraform.

• contributed to Terraform modules, Azure APIM and services, Azure DevOps pipelines, application monitoring.

• implemented Azure DevOps TypeScript extensions and task injections at the organization level to enforce deployment checks (Checkmarx, code coverage scans, etc.) before deploying to production.

• stayed up-to-date with new technologies and approaches, driving innovation within the team.

• migrated data applications to the cloud, conducted application and skill assessments, supported experiments, and enabled data teams

• designed and implemented a cloud-native data processing platform using Terraform

• contributed to Terraform modules for Azure services, application monitoring, etc.

• developed security baselines, Azure policies as code, and Terraform regression tests for data platform services

• designed Azure Data Lake architecture based on application teams' requirements

• built, tested, and deployed Azure Data Factory, Azure Databricks, Synapse, and Azure SQL pipelines for Azure Data Lake.